The U.S. National Football League Scheduling Problem. - Bistra N. Dilkina; William S. Havens (AAAI, 2004)

A Hybrid Schema for Systematic Local Search. - William S. Havens; Bistra N. Dilkina (Canadian AI, 2004)

Extending Systematic Local Search for Job Shop Scheduling Problems. - Bistra Dilkina; Lei Duan; William S. Havens (CP, 2005)

The Impact of Network Topology on Pure Nash Equilibria in Graphical Games. - Bistra Dilkina; Carla P. Gomes; Ashish Sabharwal (AAAI, 2007)

Tradeoffs in the Complexity of Backdoor Detection. - Bistra Dilkina; Carla P. Gomes; Ashish Sabharwal (CP, 2007)

Tradeoffs in Backdoors: Inconsistency Detection, Dynamic Simplification, and Preprocessing. - Bistra Dilkina; Carla P. Gomes; Ashish Sabharwal (ISAIM, 2008)

Backdoors to Combinatorial Optimization: Feasibility and Optimality. - Bistra Dilkina; Carla P. Gomes; Yuri Malitsky; Ashish Sabharwal; Meinolf Sellmann (CPAIOR, 2009)

Backdoors in the Context of Learning. - Bistra Dilkina; Carla P. Gomes; Ashish Sabharwal (SAT, 2009)

An Empirical Study of Optimization for Maximizing Diffusion in Networks. - Kiyan Ahmadizadeh; Bistra Dilkina; Carla P. Gomes; Ashish Sabharwal (CP, 2010)

Solving Connected Subgraph Problems in Wildlife Conservation. - Bistra Dilkina; Carla P. Gomes (CPAIOR, 2010)

Maximizing the Spread of Cascades Using Network Design. - Daniel Sheldon; Bistra Dilkina; Adam N. Elmachtoub; Ryan Finseth; Ashish Sabharwal; Jon Conrad; Carla P. Gomes; David B. Shmoys; William Allen; Ole Amundsen; William Vaughan (UAI, 2010)

Upgrading Shortest Paths in Networks. - Bistra Dilkina; Katherine J. Lai; Carla P. Gomes (CPAIOR, 2011)

Incorporating Computational Sustainability into AI Education through a Freely-Available, Collectively-Composed Supplementary Lab Text. - Douglas H. Fisher; Bistra Dilkina; Eric Eaton; Carla Gomes 001 (EAAI, 2012)

Exploiting Structure in combinatorial Problems with Applications in Computational Sustainability. - Bistra Dilkina (2012)

Robust Network Design For Multispecies Conservation. - Ronan LeBras; Bistra Dilkina; Yexiang Xue; Carla P. Gomes; Kevin S. McKelvey; Michael K. Schwartz; Claire A. Montgomery (AAAI, 2013)

Large Landscape Conservation - Synthetic and Real-World Datasets. - Bistra Dilkina; Katherine J. Lai; Ronan LeBras; Yexiang Xue; Carla P. Gomes; Ashish Sabharwal; Jordan Suter; Kevin S. McKelvey; Michael K. Schwartz; Claire A. Montgomery (AAAI, 2013)

Improving Your Chances: Boosting Citizen Science Discovery. - Yexiang Xue; Bistra Dilkina; Theodoros Damoulas; Daniel Fink 002; Carla P. Gomes; Steve Kelling (HCOMP, 2013)

Scalable diffusion-aware optimization of network topology. - Elias Boutros Khalil; Bistra Dilkina; Le Song (KDD, 2014)

To gather together for a better world: understanding and leveraging communities in micro-lending recommendation. - Jaegul Choo; Daniel Lee; Bistra Dilkina; Hongyuan Zha; Haesun Park (WWW, 2014)

Tradeoffs in the complexity of backdoors to satisfiability: dynamic sub-solvers and learning during search. - Bistra Dilkina; Carla P. Gomes; Ashish Sabharwal (Ann. Math. Artif. Intell., 2014)

Learning Large-Scale Dynamic Discrete Choice Models of Spatio-Temporal Preferences with Application to Migratory Pastoralism in East Africa. - Stefano Ermon; Yexiang Xue; Russell Toth; Bistra Dilkina; Richard Bernstein; Theodoros Damoulas; Patrick E. Clark; Steve DeGloria; Andrew Mude; Christopher Barrett; Carla P. Gomes (AAAI, 2015)

Sustainable Building Design: A Challenge at the Intersection of Machine Learning and Design Optimization. - Siamak Safarzadegan Gilan; Bistra Dilkina (AAAI Workshop: Computational Sustainability, 2015)

Coarse Models for Bird Migrations Using Clustering and Non-Stationary Markov Chains. - Nitin Jain; Bistra Dilkina (AAAI Workshop: Computational Sustainability, 2015)

Reports from the 2015 AAAI Workshop Program. - Stefano V. Albrecht; J. Christopher Beck; David L. Buckeridge; Adi Botea; Cornelia Caragea; Chi-Hung Chi; Theodoros Damoulas; Bistra Dilkina; Eric Eaton; Pooyan Fazli; Sam Ganzfried; Marius Lindauer; et al. (AI Mag., 2015)

Learning to Branch in Mixed Integer Programming. - Elias Boutros Khalil; Pierre Le Bodic; Le Song; George L. Nemhauser; Bistra Dilkina (AAAI, 2016)

Network optimization of food flows in the U.S. - Caleb Robinson; Arezoo Shirazi; Mengmeng Liu; Bistra Dilkina (IEEE BigData, 2016)

Active Learning in Multi-objective Evolutionary Algorithms for Sustainable Building Design. - Siamak Safarzadegan Gilan; Naman Goyal 001; Bistra Dilkina (GECCO, 2016)

Firebird: Predicting Fire Risk and Prioritizing Fire Inspections in Atlanta. - Michael A. Madaio; Shang-Tse Chen; Oliver L. Haimson; Wenwen Zhang; Xiang Cheng 002; Matthew Hinds-Aldrich; Duen Horng Chau; Bistra Dilkina (KDD, 2016)

Lexis: An Optimization Framework for Discovering the Hierarchical Structure of Sequential Data. - Payam Siyari; Bistra Dilkina; Constantine Dovrolis (KDD, 2016)

An approach to integrate inter-dependent simulations using HLA with applications to sustainable urban development. - Ajitesh Jain; David Robinson; Bistra Dilkina; Richard Fujimoto (WSC, 2016)

Refugee Resettlement Housing Scout. - Unaiza Ahsan; Oleksandra Sopova; Wes Stayton; Bistra Dilkina (CoRR, 2016)

Learning Mixtures of Markov Chains from Aggregate Data with Structural Constraints. - Dixin Luo; Hongteng Xu; Yi Zhen; Bistra Dilkina; Hongyuan Zha; Xiaokang Yang 001; Wenjun Zhang 001 (IEEE Trans. Knowl. Data Eng., 2016)

Dynamic Optimization of Landscape Connectivity Embedding Spatial-Capture-Recapture Information. - Yexiang Xue; XiaoJian Wu; Dana Morin; Bistra Dilkina; Angela Fuller; J. Andrew Royle; Carla P. Gomes (AAAI, 2017)

delta -MAPS: From fMRI Data to Functional Brain Networks. - Ilias Fountalis; Constantine Dovrolis; Bistra Dilkina; Shella D. Keilholz (COMPLEX NETWORKS, 2017)

Optimal Patrol Planning for Green Security Games with Black-Box Attackers. - Haifeng Xu; Benjamin J. Ford; Fei Fang 001; Bistra Dilkina; Andrew J. Plumptre; Milind Tambe; Margaret Driciru; Fred Wanyama; Aggrey Rwetsiba; Mustapha Nsubaga; Joshua Mabonga (GameSec, 2017)

CP-ORTHO: An Orthogonal Tensor Factorization Framework for Spatio-Temporal Data. - Ardavan Afshar; Joyce C. Ho; Bistra Dilkina; Ioakeim Perros; Elias B. Khalil; Li Xiong 001; Vaidy S. Sunderam (SIGSPATIAL/GIS, 2017)

A Deep Learning Approach for Population Estimation from Satellite Imagery. - Caleb Robinson; Fred Hohman; Bistra Dilkina (GeoHumanities@SIGSPATIAL, 2017)

Learning Mixtures of Markov Chains from Aggregate Data with Structural Constraints (Extended Abstract). - Dixin Luo; Hongteng Xu; Yi Zhen; Bistra Dilkina; Hongyuan Zha; Xiaokang Yang 001; Wenjun Zhang 001 (ICDE, 2017)

Learning to Run Heuristics in Tree Search. - Elias B. Khalil; Bistra Dilkina; George L. Nemhauser; Shabbir Ahmed 001; Yufen Shao (IJCAI, 2017)

Learning Combinatorial Optimization Algorithms over Graphs. - Elias B. Khalil; Hanjun Dai; Yuyu Zhang; Bistra Dilkina; Le Song (NIPS, 2017)

Achieving full connectivity of sites in the multiperiod reserve network design problem. - Nahid Jafari; Bryan L. Nuse; Clinton T. Moore; Bistra Dilkina; Jeffrey Hepinstall-Cymerman (Comput. Oper. Res., 2017)

Hawkes Processes for Invasive Species Modeling and Management. - Amrita Gupta; Mehrdad Farajtabar; Bistra Dilkina; Hongyuan Zha (CoRR, 2017)

Adversary Models Account for Imperfect Crime Data: Forecasting and Planning against Real-world Poachers. - Shahrzad Gholami; Sara Mc Carthy; Bistra Dilkina; Andrew J. Plumptre; Milind Tambe; Margaret Driciru; Fred Wanyama; Aggrey Rwetsiba; Mustapha Nsubaga; Joshua Mabonga; Tom Okello; Eric Enyel (AAMAS, 2018)

AirSim-W: A Simulation Environment for Wildlife Conservation with UAVs. - Elizabeth Bondi; Debadeepta Dey; Ashish Kapoor; Jim Piavis; Shital Shah; Fei Fang 001; Bistra Dilkina; Robert Hannaford; Arvind Iyer; Lucas Joppa; Milind Tambe (COMPASS, 2018)

Infrastructure Resilience for Climate Adaptation. - Amrita Gupta; Caleb Robinson; Bistra Dilkina (COMPASS, 2018)

A Machine Learning Approach to Modeling Human Migration. - Caleb Robinson; Bistra Dilkina (COMPASS, 2018)

Imbalanced Collusive Security Games. - Han-Ching Ou; Milind Tambe; Bistra Dilkina; Phebe Vayanos (GameSec, 2018)

Discrete Interventions in Hawkes Processes with Applications in Invasive Species Management. - Amrita Gupta; Mehrdad Farajtabar; Bistra Dilkina; Hongyuan Zha (IJCAI, 2018)

δ-MAPS: from spatio-temporal data to a weighted and lagged network between functional domains. - Ilias Fountalis; Constantine Dovrolis; Annalisa Bracco; Bistra Dilkina; Shella D. Keilholz (Appl. Netw. Sci., 2018)

Emergence and Evolution of Hierarchical Structure in Complex Systems. - Payam Siyari; Bistra Dilkina; Constantine Dovrolis (CoRR, 2018)

Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization. - Bryan Wilder; Bistra Dilkina; Milind Tambe (AAAI, 2019)

Broken Signals in Security Games: Coordinating Patrollers and Sensors in the Real World. - Elizabeth Bondi; Hoon Oh; Haifeng Xu; Fei Fang 001; Bistra Dilkina; Milind Tambe (AAMAS, 2019)

Using Game Theory in Real Time in the Real World: A Conservation Case Study. - Elizabeth Bondi; Hoon Oh; Haifeng Xu; Fei Fang 001; Bistra Dilkina; Milind Tambe (AAMAS, 2019)

Don't Put All Your Strategies in One Basket: Playing Green Security Games with Imperfect Prior Knowledge. - Shahrzad Gholami; Amulya Yadav; Long Tran-Thanh; Bistra Dilkina; Milind Tambe (AAMAS, 2019)

Large Scale High-Resolution Land Cover Mapping With Multi-Resolution Data. - Caleb Robinson; Le Hou; Kolya Malkin; Rachel Soobitsky; Jacob Czawlytko; Bistra Dilkina; Nebojsa Jojic (CVPR, 2019)

Evolution of Hierarchical Structure and Reuse in iGEM Synthetic DNA Sequences. - Payam Siyari; Bistra Dilkina; Constantine Dovrolis (ICCS (1), 2019)

Combinatorial Attacks on Binarized Neural Networks. - Elias B. Khalil; Amrita Gupta; Bistra Dilkina (ICLR (Poster), 2019)

Budget-Constrained Demand-Weighted Network Design for Resilient Infrastructure. - Amrita Gupta; Bistra Dilkina (ICTAI, 2019)

Learning to Prescribe Interventions for Tuberculosis Patients Using Digital Adherence Data. - Jackson A. Killian; Bryan Wilder; Amit Sharma 007; Vinod Choudhary; Bistra Dilkina; Milind Tambe (KDD, 2019)

End to end learning and optimization on graphs. - Bryan Wilder; Eric Ewing; Bistra Dilkina; Milind Tambe (NeurIPS, 2019)

Improving GP-UCB Algorithm by Harnessing Decomposed Feedback. - Kai Wang 040; Bryan Wilder; Sze-Chuan Suen; Bistra Dilkina; Milind Tambe (PKDD/ECML Workshops (1), 2019)

Computational sustainability: computing for a better world and a sustainable future. - Carla P. Gomes; Thomas G. Dietterich; Christopher Barrett; Jon Conrad; Bistra Dilkina; Stefano Ermon; Fei Fang 001; Andrew Farnsworth; Alan Fern; Xiaoli Z. Fern; Daniel Fink 002; Douglas H. Fisher; et al. (Commun. ACM, 2019)

Decision-Focused Learning of Adversary Behavior in Security Games. - Andrew Perrault; Bryan Wilder; Eric Ewing; Aditya Mate; Bistra Dilkina; Milind Tambe (CoRR, 2019)

Stay Ahead of Poachers: Illegal Wildlife Poaching Prediction and Patrol Planning Under Uncertainty with Field Test Evaluations. - Shahrzad Gholami; Lily Xu; Sara Mc Carthy; Bistra Dilkina; Andrew J. Plumptre; Milind Tambe; Rohit Singh; Mustapha Nsubaga; Joshua Mabonga; Margaret Driciru; Fred Wanyama; Aggrey Rwetsiba; et al. (CoRR, 2019)

Migration patterns under different scenarios of sea level rise. - Caleb Robinson; Bistra Dilkina; Juan Moreno-Cruz (CoRR, 2019)

Evolution of Hierarchical Structure & Reuse in iGEM Synthetic DNA Sequences. - Payam Siyari; Bistra Dilkina; Constantine Dovrolis (CoRR, 2019)

To Signal or Not To Signal: Exploiting Uncertain Real-Time Information in Signaling Games for Security and Sustainability. - Elizabeth Bondi; Hoon Oh; Haifeng Xu; Fei Fang 001; Bistra Dilkina; Milind Tambe (AAAI, 2020)

MIPaaL: Mixed Integer Program as a Layer. - Aaron M. Ferber; Bryan Wilder; Bistra Dilkina; Milind Tambe (AAAI, 2020)

End-to-End Game-Focused Learning of Adversary Behavior in Security Games. - Andrew Perrault; Bryan Wilder; Eric Ewing; Aditya Mate; Bistra Dilkina; Milind Tambe (AAAI, 2020)

Human-Machine Collaboration for Fast Land Cover Mapping. - Caleb Robinson; Anthony Ortiz; Kolya Malkin; Blake Elias; Andi Peng; Dan Morris 001; Bistra Dilkina; Nebojsa Jojic (AAAI, 2020)

Video Game Level Repair via Mixed Integer Linear Programming. - Hejia Zhang; Matthew C. Fontaine; Amy K. Hoover; Julian Togelius; Bistra Dilkina; Stefanos Nikolaidis (AIIDE, 2020)

Enhancing Seismic Resilience of Water Pipe Networks. - Taoan Huang; Bistra Dilkina (COMPASS, 2020)

Stay Ahead of Poachers: Illegal Wildlife Poaching Prediction and Patrol Planning Under Uncertainty with Field Test Evaluations (Short Version). - Lily Xu; Shahrzad Gholami; Sara Mc Carthy; Bistra Dilkina; Andrew J. Plumptre; Milind Tambe; Rohit Singh; Mustapha Nsabuga; Joshua Mabonga; Margaret Driciru; Fred Wanyama; Aggrey Rwetsiba; et al. (ICDE, 2020)

Weakly Supervised Semantic Segmentation in the 2020 IEEE GRSS Data Fusion Contest. - Caleb Robinson; Kolya Malkin; Lucas Hu; Bistra Dilkina; Nebojsa Jojic (IGARSS, 2020)

Embedding Conjugate Gradient in Learning Random Walks for Landscape Connectivity Modeling in Conservation. - Pramith Devulapalli; Bistra Dilkina; Yexiang Xue (IJCAI, 2020)

A General Large Neighborhood Search Framework for Solving Integer Linear Programs. - Jialin Song; Ravi Lanka; Yisong Yue; Bistra Dilkina (NeurIPS, 2020)

BIRDSAI: A Dataset for Detection and Tracking in Aerial Thermal Infrared Videos. - Elizabeth Bondi; Raghav Jain; Palash Aggrawal; Saket Anand; Robert Hannaford; Ashish Kapoor; Jim Piavis; Shital Shah; Lucas Joppa; Bistra Dilkina; Milind Tambe (WACV, 2020)

A General Large Neighborhood Search Framework for Solving Integer Programs. - Jialin Song; Ravi Lanka; Yisong Yue; Bistra Dilkina (CoRR, 2020)

Model Generalization in Deep Learning Applications for Land Cover Mapping. - Lucas Hu; Caleb Robinson; Bistra Dilkina (CoRR, 2020)

Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation. - Umang Gupta; Aaron M. Ferber; Bistra Dilkina; Greg Ver Steeg (AAAI, 2021)

Learning to Resolve Conflicts for Multi-Agent Path Finding with Conflict-Based Search. - Taoan Huang; Sven Koenig; Bistra Dilkina (AAAI, 2021)

Becoming Good at AI for Good. - Meghana Kshirsagar 001; Caleb Robinson; Siyu Yang; Shahrzad Gholami; Ivan S. Klyuzhin; Sumit Mukherjee; Md Nasir; Anthony Ortiz; Felipe Oviedo; Darren Tanner; Anusua Trivedi; Yixi Xu; et al. (AIES, 2021)

Learning Node-Selection Strategies in Bounded-Suboptimal Conflict-Based Search for Multi-Agent Path Finding. - Taoan Huang; Bistra Dilkina; Sven Koenig (AAMAS, 2021)

Fragile Earth: Accelerating Progress towards Equitable Sustainability. - Naoki Abe; Kathleen Buckingham; Bistra Dilkina; Emre Eftelioglu; Auroop R. Ganguly; James Hodson; Ramakrishnan Kannan (KDD, 2021)

Learning Pseudo-Backdoors for Mixed Integer Programs. - Aaron M. Ferber; Jialin Song; Bistra Dilkina; Yisong Yue (SOCS, 2021)

Harnessing Heterogeneity: Learning from Decomposed Feedback in Bayesian Modeling. - Kai Wang 040; Bryan Wilder; Sze-Chuan Suen; Bistra Dilkina; Milind Tambe (CoRR, 2021)

Anytime Multi-Agent Path Finding via Machine Learning-Guided Large Neighborhood Search. - Taoan Huang; Jiaoyang Li 001; Sven Koenig; Bistra Dilkina (AAAI, 2022)

Finding Backdoors to Integer Programs: A Monte Carlo Tree Search Framework. - Elias B. Khalil; Pashootan Vaezipoor; Bistra Dilkina (AAAI, 2022)

Landscape Optimization for Prescribed Burns in Wildfire Mitigation Planning. - Weizhe Chen 001; Eshwar Prasad Sivaramakrishnan; Bistra Dilkina (COMPASS, 2022)

Fragile Earth: AI for Climate Mitigation, Adaptation, and Environmental Justice. - Naoki Abe; Kathleen Buckingham; Bistra Dilkina; Emre Eftelioglu; Auroop R. Ganguly; James Hodson; Ramakrishnan Kannan; Rose Yu (KDD, 2022)

Learning a Priority Ordering for Prioritized Planning in Multi-Agent Path Finding. - Shuyang Zhang; Jiaoyang Li 001; Taoan Huang; Sven Koenig; Bistra Dilkina (SOCS, 2022)

Learning generalized strong branching for set covering, set packing, and 0-1 knapsack problems. - Yu Yang 014; Natashia Boland; Bistra Dilkina; Martin W. P. Savelsbergh (Eur. J. Oper. Res., 2022)

Deadline-Aware Multi-Agent Tour Planning. - Taoan Huang; Vikas Shivashankar; Michael Caldara; Joseph W. Durham; Jiaoyang Li 001; Bistra Dilkina; Sven Koenig (ICAPS, 2023)

Info-Wild: Knowledge Extraction and Management for Wildlife Conservation. - Prasenjit Mitra; Shreya Ghosh 002; Bistra Dilkina; Thomas Müller 017 (CIKM, 2023)

Predicting Wildlife Trafficking Routes with Differentiable Shortest Paths. - Aaron M. Ferber; Emily Griffin; Bistra Dilkina; Burcu B. Keskin; Meredith Gore (CPAIOR, 2023)

Local Branching Relaxation Heuristics for Integer Linear Programs. - Taoan Huang; Aaron M. Ferber; Yuandong Tian; Bistra Dilkina; Benoit Steiner (CPAIOR, 2023)

Moccasin: Efficient Tensor Rematerialization for Neural Networks. - Burak Bartan; Haoming Li 002; Harris Teague; Christopher Lott; Bistra Dilkina (ICML, 2023)

SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems. - Aaron M. Ferber; Taoan Huang; Daochen Zha; Martin Schubert; Benoit Steiner; Bistra Dilkina; Yuandong Tian (ICML, 2023)

Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning. - Taoan Huang; Aaron M. Ferber; Yuandong Tian; Bistra Dilkina; Benoit Steiner (ICML, 2023)

Fragile Earth: AI for Climate Sustainability - From Wildfire Disaster Management to Public Health and Beyond. - Naoki Abe; Kathleen Buckingham; Yuzhou Chen; Bistra Dilkina; Emre Eftelioglu; Auroop R. Ganguly; Yulia R. Gel; James Hodson; Ramakrishnan Kannan; Huikyo Lee; Jiafu Mao; Rose Yu (KDD, 2023)

Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information. - Arman Zharmagambetov; Brandon Amos; Aaron M. Ferber; Taoan Huang; Bistra Dilkina; Yuandong Tian (NeurIPS, 2023)

Artificial Intelligence/Operations Research Workshop 2 Report Out. - John P. Dickerson; Bistra Dilkina; Yu Ding; Swati Gupta; Pascal Van Hentenryck; Sven Koenig; Ramayya Krishnan; Radhika Kulkarni; Catherine Gill; Haley Griffin; Maddy Hunter; Ann Schwartz (CoRR, 2023)

GenCO: Generating Diverse Solutions to Design Problems with Combinatorial Nature. - Aaron M. Ferber; Arman Zharmagambetov; Taoan Huang; Bistra Dilkina; Yuandong Tian (CoRR, 2023)

Disaster world. - David V. Pynadath; Bistra Dilkina; David C. Jeong; Richard S. John; Stacy C. Marsella; Chirag Merchant; Lynn C. Miller; Stephen J. Read (Comput. Math. Organ. Theory, 2023)

Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search. - Thomy Phan; Taoan Huang; Bistra Dilkina; Sven Koenig (AAAI, 2024)

Learning Lagrangian Multipliers for the Travelling Salesman Problem. - Augustin Parjadis; Quentin Cappart; Bistra Dilkina; Aaron M. Ferber; Louis-Martin Rousseau (CP, 2024)

Learning Backdoors for Mixed Integer Linear Programs with Contrastive Learning. - Junyang Cai; Taoan Huang; Bistra Dilkina (ECAI, 2024)

GenCO: Generating Diverse Designs with Combinatorial Constraints. - Aaron M. Ferber; Arman Zharmagambetov; Taoan Huang; Bistra Dilkina; Yuandong Tian (ICML, 2024)

Contrastive Predict-and-Search for Mixed Integer Linear Programs. - Taoan Huang; Aaron M. Ferber; Arman Zharmagambetov; Yuandong Tian; Bistra Dilkina (ICML, 2024)

Position: Application-Driven Innovation in Machine Learning. - David Rolnick; Alán Aspuru-Guzik; Sara Beery; Bistra Dilkina; Priya L. Donti; Marzyeh Ghassemi; Hannah Kerner; Claire Monteleoni; Esther Rolf; Milind Tambe; Adam White (ICML, 2024)

Fragile Earth: Generative and Foundational Models for Sustainable Development. - Emre Eftelioglu; Bistra Dilkina; Naoki Abe; Ramakrishnan Kannan; Yuzhou Chen; Yulia R. Gel; Kathleen Buckingham; Auroop R. Ganguly; James Hodson; Jiafu Mao (KDD, 2024)

Why Solving Multi-agent Path Finding with Large Language Model has not Succeeded Yet. - Weizhe Chen 001; Sven Koenig; Bistra Dilkina (CoRR, 2024)

Learning Backdoors for Mixed Integer Programs with Contrastive Learning. - Junyang Cai; Taoan Huang; Bistra Dilkina (CoRR, 2024)

Application-Driven Innovation in Machine Learning. - David Rolnick; Alán Aspuru-Guzik; Sara Beery; Bistra Dilkina; Priya L. Donti; Marzyeh Ghassemi; Hannah Kerner; Claire Monteleoni; Esther Rolf; Milind Tambe; Adam White (CoRR, 2024)

MARL-LNS: Cooperative Multi-agent Reinforcement Learning via Large Neighborhoods Search. - Weizhe Chen 001; Sven Koenig; Bistra Dilkina (CoRR, 2024)

No Panacea in Planning: Algorithm Selection for Suboptimal Multi-Agent Path Finding. - Weizhe Chen 001; Zhihan Wang; Jiaoyang Li 001; Sven Koenig; Bistra Dilkina (CoRR, 2024)

Distributional MIPLIB: a Multi-Domain Library for Advancing ML-Guided MILP Methods. - Weimin Huang; Taoan Huang; Aaron M. Ferber; Bistra Dilkina (CoRR, 2024)

RePrompt: Planning by Automatic Prompt Engineering for Large Language Models Agents. - Weizhe Chen 001; Sven Koenig; Bistra Dilkina (CoRR, 2024)

Balans: Multi-Armed Bandits-based Adaptive Large Neighborhood Search for Mixed-Integer Programming Problem. - Junyang Cai; Serdar Kadioglu; Bistra Dilkina (CoRR, 2024)

Machine Learning Augmented Algorithms for Combinatorial Optimization Problems (Dagstuhl Seminar 24441). - Deepak Ajwani; Bistra Dilkina; Tias Guns; Ulrich Carsten Meyer (Dagstuhl Reports, 2024)

Multi-task Representation Learning for Mixed Integer Linear Programming. - Junyang Cai; Taoan Huang; Bistra Dilkina (CPAIOR (1), 2025)

Solving Multi-agent Path Finding as an LLM Benchmark: How, How Good and Why. - Weizhe Chen 001; Sven Koenig; Bistra Dilkina (Trans. Mach. Learn. Res., 2025)

Iterative Deepening Sampling for Large Language Models. - Weizhe Chen 001; Sven Koenig; Bistra Dilkina (CoRR, 2025)

ParBalans: Parallel Multi-Armed Bandits-based Adaptive Large Neighborhood Search. - Alican Yilmaz; Junyang Cai; Serdar Kadioglu; Bistra Dilkina (CoRR, 2025)

Neuro-Symbolic Acceleration of MILP Motion Planning with Temporal Logic and Chance Constraints. - Junyang Cai; Weimin Huang; Jyotirmoy V. Deshmukh; Lars Lindemann; Bistra Dilkina (CoRR, 2025)